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CT-AI · Question #101
CT-AI Question #101: Real Exam Question with Answer & Explanation
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Question
A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required thus reducing the time needed for each testing cycle. How can an AI-based tool be expected to assist in this reduction?
Options
- ABy using a clustering method to quantify the relationships between test cases and then assigning
- BBy performing optimization of the data from past iterations to see where the most common
- CBy performing bayesian analysis to estimate the types of human interactions that are expected to
- DBy using A/B testing to compare the last update with the newest change and compare metrics
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